Fig 1.
Functions of a translation model.
Fig 2.
Structure diagram of RNN neural network.
Fig 3.
Construction of translation model based on RNN.
Fig 4.
Schematic diagram of local perception based on CNN.
Fig 5.
SCN structure.
Fig 6.
LSTM model structure diagram.
Fig 7.
Construction of translation model based on SCN-LSTM.
Fig 8.
GRU and LSTM translation models.
Fig 9.
GNN-LSTM translation model.
Fig 10.
Evaluation of accuracy and recall rate of machine translation model of neural network based on residual and LSTM.
Note: GodEye-1 is the training set on GodEye data, GodEye-2 is the test set on GodEye data, PTB-1 is the training set on PTB data, PTB-2 is the test set on PTB data, CNN-L is CNN-LSTM, SCN-L is SCN-LSTM model.
Fig 11.
Evaluation of machine translation model of neural network based on residual and LSTM in F value and processing time.
Fig 12.
Evaluation of translation quality of machine translation models based on deep learning neural networks.
Table 1.
Adaptability evaluation of machine translation model of neural network based on residual and LSTM.
Fig 13.
Evaluation of machine translation model of neural network based on residual and LSTM in teaching application.